smoothSurvReg.fit

Fit the survival regression model with smoothed error distribution.
 This function is not to be called by the user.

smooth

survival

Contains, as a main contribution, a function to fit
a regression model with possibly right, left or interval
censored observations and with the error distribution
expressed as a mixture of G-splines. Core part
of the computation is done in compiled 'C++' written
using the 'Scythe' Statistical Library Version 0.3.

Arnošt Komárek

smoothSurv

Survival Regression with Smoothed Error Distribution

Kevin M. Quinn

Andrew D. Martin

Daniel B. Pemstein

Berwin A. Turlach

smoothSurvReg.fit function

<dl> <dt>x</dt>
<dd>A covariate matrix.</dd> <dt>z</dt>
<dd>A covariate matrix for log(scale).</dd>
 
 <dt>y</dt>
<dd>A two- or three- column matrix with response. The last column
 indicate the type of censoring. See <code><a href="/link/Surv?package=smoothSurv&version=2.6" data-mini-rdoc="smoothSurv::Surv">Surv</a></code> for details.</dd> <dt>offset</dt>
<dd>A vector with possible offset term.</dd> <dt>correctlik</dt>
<dd>Correction term to the likelihood due to the log transformation of the response.</dd> <dt>init</dt>
<dd>A list with components <code>beta</code>, <code>scale</code>, <code>ccoef</code>
 giving the initial values for the fitting process.</dd> <dt>controlvals</dt>
<dd>A list returned by <code>smoothSurvReg.control</code>.</dd> <dt>common.logscale</dt>
<dd>Indicator (TRUE/FALSE) indicating whether the log-scale is same for all observations 
 or whether it depends on covariates.</dd></dl>

Arguments

Arnošt Komárek <a href="/link/arnost.komarek%40mff.cuni.cz?package=smoothSurv&version=2.6" data-mini-rdoc="smoothSurv::arnost.komarek@mff.cuni.cz">arnost.komarek@mff.cuni.cz</a>

Author

Work Function to Fit the Model Using 'smoothSurvReg' — smoothSurvReg.fit

<dl>

 <dt>x</dt>
<dd>A covariate matrix.</dd>

 <dt>z</dt>
<dd>A covariate matrix for log(scale).</dd>
 
 <dt>y</dt>
<dd>A two- or three- column matrix with response. The last column
 indicate the type of censoring. See <code><a href='https://rdrr.io/pkg/survival/man/Surv.html'>Surv</a></code> for details.</dd>

 <dt>offset</dt>
<dd>A vector with possible offset term.</dd>

 <dt>correctlik</dt>
<dd>Correction term to the likelihood due to the log transformation of the response.</dd>

 <dt>init</dt>
<dd>A list with components <code>beta</code>, <code>scale</code>, <code>ccoef</code>
 giving the initial values for the fitting process.</dd>

 <dt>controlvals</dt>
<dd>A list returned by <code>smoothSurvReg.control</code>.</dd>

 <dt>common.logscale</dt>
<dd>Indicator (TRUE/FALSE) indicating whether the log-scale is same for all observations 
 or whether it depends on covariates.</dd>

</dl>

Arnošt Komárek <a href='mailto:arnost.komarek@mff.cuni.cz'>arnost.komarek@mff.cuni.cz</a>

smoothSurvReg.fit: Work Function to Fit the Model Using 'smoothSurvReg'

Description

Usage

Value

Arguments

Author